A new fusion framework for motion segmentation in dynamic scenes-Reference-Cited by-同舟云学术

A new fusion framework for motion segmentation in dynamic scenes

Published:2021-03-15 Issue:2 Volume:12 Page:99-121
ISSN:1947-9832
Container-title:International Journal of Image and Data Fusion
language:en
Short-container-title:International Journal of Image and Data Fusion

Author:

Khelifi Lazhar¹^ORCID,Mignotte Max¹

Affiliation:

1. Image Processing Laboratory, Department of Computer Science and Operations Research, Montreal University, Montreal, Quebec, Canada

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/19479832.2021.1900408

Reference47 articles.

1. Andrearczyk, V. and Whelan, P.F., 2017. Convolutional neural network on three orthogonal planes for dynamic texture classification. http://arxiv.org/abs/1703.05530, 1–19.

2. Overview and comparative study of dimensionality reduction techniques for high dimensional data

3. Dynamic Textures Segmentation and Tracking Using Optical Flow and Active Contours

4. A dynamic texture based segmentation method for ultrasound images with Surfacelet, HMT and parallel computing

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